篮球运动员的视野及训练

由于篮球运动员在比赛中的视野范围直接影响到比赛的胜负,在篮球训练中应把运动员视野训练列入到每节训练课中并贯彻始终.合理的战术行动来自正确的思维,正确的思维取决于全面、准确的观察与判断.视野越宽广,空间的范围越大,越准确灵活,队员在场上活动的效果也越好,获得比赛胜利的可能性越大.     

传统语言课堂观察制度存在的问题及改进建议

从长远的观点来看，无论是在观察目的、内容、组织还是效果上，现行的以奖惩为目的的传统语言课堂观察制度都是一种不利于教师发展的观察制度，因此，必须进行改进。为此，本文建议：在观察机制上遵循以教师的自我评价和同行观察为主的原则；在观察过程中执行具体的课前观察的材料准备，课堂观察和课堂观察后的讨论制度；确定具体的课堂观察重点；使用观察清单，以定量观察反映定性观察，增加观察评价的科学性。     

培养学生看图写话能力的措施探讨

在语文教学中,教师要重视看图写话训练,通过看图写话训练培养学生的观察能力、想象能力和语言表达能力等。有效开展看图写话训练的策略包括:让学生在看图写话训练中学会观察,学会联想,学会表达自己的感想,培养学生的语言文字运用能力,看图写话训练必须贴近学生的生活实际,必须与教材相结合。     

论中学数学中观察能力的培养

针对新颁布的全日制高级中学课程，阐述了在数学教学中培养学生观察能力方面作出的一些尝试。目的是使学生会观察问题、分析问题和解决问题，并形成一种自主的创新能力。     

北朝天文学成就综述

北朝是少数民族为主体的政权,他们有重视天文历法的传统.北朝出现过不少天文学家,对天文仪器的制造、天象的观察和记录及历法的改革等都做出了重要贡献,其中尤为突出的要推“北魏铁仪”的制作与使用和张子信对太阳与行星视运动不均匀性的发现。     

论大数据时代顶岗实习的课堂观察

研究从大数据时代的课堂观察概念、大数据时代顶岗实习课堂观察的意义、大数据时代顶岗实习课堂观察的学习、大数据时代顶岗实习课堂观察的路径四个方面,从理论到实践阐述了大数据时代顶岗实习的课堂观察。     

On stochastic optimal control of partially observable nonlinear quasi Hamiltonian systems

A stochastic optimal control strategy for partially observable nonlinear quasi Hamiltonian systems is proposed.The optimal control forces consist of two parts. The first part is determined by the conditions under which the stochastic optimal control problem of a partially observable nonlinear system is converted into that of a completely observable linear system. The second part is determined by solving the dynamical programming equation derived by applying the stochastic averaging method and stochastic dynamical programming principle to the completely observable linear control system. The response of the optimally controlled quasi Hamiltonian system is predicted by solving the averaged Fokker-Planck-Kolmogorov equation associated with the optimally controlled completely observable linear system and solving the Riccati equation for the estimated error of system states. An example is given to illustrate the procedure and effectiveness of the proposed control strategy.     

Clinically applicable artificial intelligence algorithm for the diagnosis,evaluation, and monitoring of acute retinal necrosis

The prompt detection and proper evaluation of necrotic retinal region are especially important for the diagnosis and treatment of acute retinal necrosis(ARN). The potential application of artificial intelligence(AI) algorithms in these areas of clinical research has not been reported previously. The present study aims to create a computational algorithm for the automated detection and evaluation of retinal necrosis from retinal fundus photographs. A total of 149 wide-angle fundus photographs from40 eyes of 32 ARN patients were collected, and the U-Net method was used to construct the AI algorithm. Thereby, a novel algorithm based on deep machine learning in detection and evaluation of retinal necrosis was constructed for the first time. This algorithm had an area under the receiver operating curve of 0.92, with 86% sensitivity and 88% specificity in the detection of retinal necrosis. For the purpose of retinal necrosis evaluation, necrotic areas calculated by the AI algorithm were significantly positively correlated with viral load in aqueous humor samples(R2=0.7444, P0.0001) and therapeutic response of ARN(R2=0.999, P0.0001). Therefore, our AI algorithm has a potential application in the clinical aided diagnosis of ARN, evaluation of ARN severity, and treatment response monitoring.     

Affordances and constraints of mathematics-specific observation frameworks and general elements of teaching quality

In this study, we consider the implications of using mathematics-specific observation frameworks versus a synthesized list of indicators when measuring teaching quality. We compare how three mathematics-focused observation frameworks measure teaching quality across three focal lessons and consider the merits of using a synthesized list of indicators such as those presented in the MAIN-TEACH model. We find that the mathematics-specific frameworks: identify similar constructs, but assess them differently; reach similar conclusions regarding overall instructional quality, but for different reasons; and do not capture aspects of instruction that are not mathematics-specific. A synthesized framework could provide a broader set of indicators, promote a common vision of high-quality instruction, and provide a common basis for looking across studies. However, a synthesized framework may remove nuances that allow researchers to capture distinct constructs (or important differences in similar constructs), specifically at a grain size useful for instructional improvement. We also consider methodological concerns raised by the use of a synthesized framework.     

音乐心理治疗路径对焦虑症患者康复影响的分析

目的:探讨音乐心理治疗路径对焦虑症患者康复的影响。方法:选择焦虑症患者200例,随机分干预组和对照组,在使用常规药物治疗的同时,干预组实施音乐心理治疗路径。结果:治疗的第4、第10周末,干预组SAS、STAI评分极显著优于对照组,(P<0.01)。结论:音乐心理治疗路径能促进焦虑症患者的人格发展,促使病情疗愈。